<About the job>
As the data scientist, you'll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd).
．Design, implement and refine advanced Statistical/Machine Learning/Numerical Simulation/Optimization Algorithm models to support the requirement goal defined by key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements.
．Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc.
．Works closely with a team of data system analysts, business data analysts, data engineers, data platform architects, etc.
．Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others.
．Experience with any one of Statistical/Machine Learning/Numerical Simulation/Optimization Algorithm model building of the practical application in the industry. ．Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus).
．Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics.
．Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models.
．2 years+ of industry experience in data science focusing on Statistical modeling, Machine learning, Forecasting, and Optimization.
．Ph.D. degree/Ph.D. Candidate would be preferred.
．Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark/Spark MLlib. (additional)
．Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch. (additional)
．2+ years of professional experience with a degree of Ph.D. /Ph.D. Candidate or 4+ years of working experience with a degree of Master
．Major in Computer Science/Information Engineering/Information Management/Statistic/Applied Mathematics or related fields (such as in a field where there is intensive training in quantitative methods such as Statistics, Machine Learning, Electrical, and Computer Engineering, Economics, Physics, Industrial Engineering, or Operation Research).